E-prop on SpiNNaker 2: Exploring online learning in spiking RNNs on neuromorphic hardware
Introduction In recent years, the application of deep learning models at the edge has gained
attention. Typically, artificial neural networks (ANNs) are trained on graphics processing …
attention. Typically, artificial neural networks (ANNs) are trained on graphics processing …
Development of a Neuromorphic-Friendly Spiking Neural Network for RF Event-based Classification
M Smith, M Temple, J Dean - 2025 - scholarspace.manoa.hawaii.edu
This paper provides details for the most recent step taken in RndF-to-CNN-to-SNN classifier
transition activity supporting an envisioned RF “event radio” concept. Successful results here …
transition activity supporting an envisioned RF “event radio” concept. Successful results here …